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Abstract Details
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Activity Number:
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305
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #306010 |
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Title:
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Small-Area Estimation in the Presence of Measurement Error Using Corrected Scores Approach
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Author(s):
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Trijya Singh*+
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Companies:
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Le Moyne College
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Address:
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129 Alpine Drive,, Dewitt, NY, 13214, United States
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Keywords:
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Corrected scores ;
Fay-Herriot ;
Measurement error ;
Small Area Estimation
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Abstract:
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Corrected scores is an approach that has been used for decades now to handle models which have measurement error in covariates. This approach is based on finding a score function that is unbiased in the presence of measurement error. We use this technique to deal with the Fay-Herriot model in small area estimation where measurement error is present and hence provide efficient estimates of parameters that have lesser variance compared to estimates yielded by other methods.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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